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Found 17 papers, 0 papers with code
Modeling Incremental Language Comprehension in the Brain with Combinatory Categorial Grammar
Hierarchical sentence structure plays a role in word-by-word human sentence comprehension, but it remains unclear how best to characterize this structure and unknown how exactly it would be recognized in a step-by-step process model.
Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities
Recent advances in artificial general intelligence (AGI), particularly large language models and creative image generation systems have demonstrated impressive capabilities on diverse tasks spanning the arts and humanities.
Quantifying Discourse Support for Omitted Pronouns
Pro-drop is commonly seen in many languages, but its discourse motivations have not been well characterized.
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps
Neural Language Models (NLMs) have made tremendous advances during the last years, achieving impressive performance on various linguistic tasks.
The Little Prince in 26 Languages: Towards a Multilingual Neuro-Cognitive Corpus
The planned release of the LPPC combines linguistic and EEG data for many languages using fully automatic methods, and thus constitutes a readily extendable resource that supports cross-linguistic and cross-disciplinary research.
The Alice Datasets: fMRI \& EEG Observations of Natural Language Comprehension
The Alice Datasets are a set of datasets based on magnetic resonance data and electrophysiological data, collected while participants heard a story in English.
Text Genre and Training Data Size in Human-like Parsing
Domain-specific training typically makes NLP systems work better.
Processing MWEs: Neurocognitive Bases of Verbal MWEs and Lexical Cohesiveness within MWEs
Multiword expressions have posed a challenge in the past for computational linguistics since they comprise a heterogeneous family of word clusters and are difficult to detect in natural language data.
The Role of Syntax During Pronoun Resolution: Evidence from fMRI
The current study examined the role of syntactic structure during pronoun resolution.
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better
Language exhibits hierarchical structure, but recent work using a subject-verb agreement diagnostic argued that state-of-the-art language models, LSTMs, fail to learn long-range syntax sensitive dependencies.
Finding Syntax in Human Encephalography with Beam Search
Model comparisons attribute the early peak to syntactic composition within the RNNG.
Modeling Brain Activity Associated with Pronoun Resolution in English and Chinese
Typological differences between English and Chinese suggest stronger reliance on salience of the antecedent during pronoun resolution in Chinese.
Entropy Reduction correlates with temporal lobe activity
Using the Entropy Reduction incremental complexity metric, we relate high gamma power signals from the brains of epileptic patients to incremental stages of syntactic analysis in English and French.
Temporal Lobes as Combinatory Engines for both Form and Meaning
The relative contributions of meaning and form to sentence processing remains an outstanding issue across the language sciences.
